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Record W3092396186 · doi:10.1017/s1352325220000154

PROCEDURAL RIGHTS AND FACTUAL ACCURACY

2020· article· en· W3092396186 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLegal Theory · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDutyObligationPolitical scienceLawOrder (exchange)Law and economicsMoralitySettlement (finance)State (computer science)PoliticsBusinessComputer scienceSociology

Abstract

fetched live from OpenAlex

ABSTRACT People have procedural rights because states are under a duty of political morality to provide them with fair procedures for settling disputes about the application of the laws. This obligation flows from the state's duty to treat each person as a free and equal member of the legal order. Yet adherence to procedural rights can impede accuracy in fact-finding, which in turn can result in poor protection for substantive rights. So the state also has a duty to provide a reasonable degree of accuracy in fact-finding. The legal order should therefore strive to improve the accuracy of fact-finding, within the constraints imposed by procedural rights people have. Nevertheless, the duty to provide reasonably accurate procedures is subordinate to the duty to provide procedural rights because the settlement of disputes among free persons must be conducted in a manner that respects their status as free persons.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.213
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it